Triple

T22266694
Position Surface form Disambiguated ID Type / Status
Subject Harry Potter film series E550368 entity
Predicate leadActor P1507 FINISHED
Object Daniel Radcliffe NE NERFINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Daniel Radcliffe | Statement: [Harry Potter film series, leadActor, Daniel Radcliffe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daniel Radcliffe
Context triple: [Harry Potter film series, leadActor, Daniel Radcliffe]
  • A. Daniel Radcliffe chosen
    Daniel Radcliffe is an English actor best known for playing the title role in the Harry Potter film series.
  • B. Rupert Grint
    Rupert Grint is an English actor best known for playing Ron Weasley in the Harry Potter film series.
  • C. James Norton
    James Norton is a British actor known for his roles in television series such as "Grantchester," "Happy Valley," and "McMafia," as well as various film and stage productions.
  • D. Harry Melling
    Harry Melling is an English actor known for his role as Dudley Dursley in the Harry Potter film series and for his later work in film and television, including acclaimed character performances in period dramas and thrillers.
  • E. JasonBiggs
    JasonBiggs is an American actor best known for his role as Jim Levenstein in the "American Pie" film series.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69e11e43d8208190aff4f9cf7f2c2a8a completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f141bc458c81909837373d749b915d completed April 28, 2026, 11:24 p.m.
Created at: April 16, 2026, 8:39 p.m.